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Oct 14, 2017
Can We Reverse Stem Cell Decline and Rejuvenate Our Bodies? (Part 1)
Posted by Brady Hartman in categories: biotech/medical, life extension
Second article (#2 of 3) in three part stem cell series.
Summary: Stem cell decline leads to disease, gradual organ failure, and death. Learn what causes it and how researchers are trying to reverse stem cell decline. Part one of a two-part series.
Are stem cells the fountain of youth?
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Oct 14, 2017
Stem Cell Primer What You Need to Know
Posted by Brady Hartman in categories: biotech/medical, futurism
First article (#1 of 3) in three part stem cell series.
Summary: A brief tutorial on the science behind stem cell therapy.
Doctors already use stem cells to treat blood diseases, a cell-based therapy that has saved the lives of thousands of children with leukemia. Additionally, physicians used stem cells to successfully treat some types of bone, skin, and eye injuries and diseases. The potential of stem cell therapies is enormous, and some researchers feel that we will be able to regrow organs in the near future.
Oct 14, 2017
Cellular Garb-aging Causes You To Age (Loss of proteostasis)
Posted by Brady Hartman in categories: biotech/medical, life extension
Cellular Garb-aging is the build-up of junk inside the cells that naturally occurs during aging. This article says why it happens.
To maintain protein homeostasis, and prevent garb-aging, the cell uses molecular chaperones, which help assemble and disassemble proteins. Chaperonins are a special class of chaperones that provide favorable conditions for the correct folding of other proteins, thus preventing aggregation. Chaperonins prevent the misfolding of proteins, which prevents conditions such as Mad Cow Disease. Sometimes, chaperonin proteins may also tag misfolded proteins to be degraded. When properly tagged, other processes can recognize the damaged or misfolded proteins and ‘take out the trash.’
Think of it as garb-aging removal.
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Oct 14, 2017
Why Inflammaging Causes Disease and Premature Aging
Posted by Brady Hartman in categories: biotech/medical, life extension, neuroscience
Researchers have discovered why inflammaging occurs and are working on new treatments. Inflammaging is new medical term for “the chronic inflammation brought on by old age.”
Summary: Inflammaging is a low-grade inflammation brought on by old age. It accelerates the aging process and worsens diseases like cancer and heart disease. Because inflammaging accelerates aging, geroscientists are perfecting a few cures for the condition.
As we age, most of us tend to develop a low-grade chronic inflammation that causes disease and damage throughout the body. Because this low-level inflammation typically accompanies aging, scientists have nicknamed it ‘inflammaging.’ Most geroscientists implicate inflammaging as the cause of many of age-related diseases including diabetes, heart disease, cancer, and dementia. These chronic diseases accelerate aging and shorten our lives.
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Oct 14, 2017
Does Our Microbiome Cause Inflammaging? Can We Trust Our Gut?
Posted by Brady Hartman in categories: biotech/medical, health
Does an out of whack microbiome cause inflammaging?
Does our microbiome cause inflammaging, the low-level chronic inflammation that plagues our bodies as we get older? A new research paper examines the question, and their findings just might surprise you.
Many people still regard bacteria and other microorganisms as mere disease-causing germs. However, it’s a lot more complicated than that. In fact, it has become increasingly clear that a healthy human body is teeming with microbes, which play a role in our immune system. We are not just an organism; we are a super-organism and the millions of microbes both within and without our bodies.
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Oct 14, 2017
The new frontiers of indulgence
Posted by Derick Lee in categories: futurism, life extension
The number of people who believe—based on data, not faith—that humans can become (almost) immortal is growing, and includes the likes of scientists, billionaires, engineers and billionaire-engineers. For instance, investor Peter Thiel has donated to the anti-ageing cause, in addition to the $500,000 (around ₹3.2 crore) Palo Alto Longevity Prize for anyone who can radically extend the life of a mammal. Larry Ellison, the co-founder of Oracle, too has donated $335 million to scientists studying ageing before he decided to redirect his foundation’s grants toward eliminating polio in 2013.
When, in the future, expensive baubles cease to hold the same novelty they do today, redefined concepts of luxury are what the super-rich can pick from.
Oct 14, 2017
Using Artificial Intelligence to Search for Extraterrestrial Intelligence
Posted by Brett Gallie II in categories: alien life, robotics/AI
#AI The Machine Learning 4 SETI Code Challenge (ML4SETI), created by the SETI Institute and IBM, was completed on July 31st 2017. Nearly 75 participants, with a wide range of backgrounds from industry and academia, worked in teams on the project. The top team achieved a signal classification accuracy of 95%. The code challenge was sponsored by IBM, Nimbix Cloud, Skymind, Galvanize, and The SETI League.
The Machine Learning 4 SETI Code Challenge (ML4SETI), created by the SETI Institute and IBM, was completed on July 31st 2017. Nearly 75 participants, with a wide range of backgrounds from industry and academia, worked in teams on the project. The top team achieved a signal classification accuracy of 95%. The code challenge was sponsored by IBM, Nimbix Cloud, Skymind, Galvanize, and The SETI League.
The ML4SETI project challenged participants to build a machine-learning model to classify different signal types observed in radio-telescope data for the search for extra-terrestrial intelligence (SETI). Seven classes of signals were simulated (and thus, labeled), with which citizen scientists trained their models. We then measured the performance of these models with tests sets in order to determine a winner of the code challenge. The results were remarkably accurate signal classification models. The models from the top teams, using deep learning techniques, attained nearly 95% accuracy in signals from the test set, which included some signals with very low amplitudes. These models may soon be used in daily SETI radio signal research.
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Oct 13, 2017
Ion Thruster Prototype Breaks Records in Tests, Could Send Humans to Mars
Posted by Andreas Matt in categories: engineering, particle physics, space travel
A thruster that’s being developed for a future NASA mission to Mars broke several records during recent tests, suggesting that the technology is on track to take humans to the Red Planet within the next 20 years, project team members said.
The X3 thruster, which was designed by researchers at the University of Michigan in cooperation with NASA and the U.S. Air Force, is a Hall thruster — a system that propels spacecraft by accelerating a stream of electrically charged atoms, known as ions. In the recent demonstration conducted at NASA’s Glenn Research Center in Ohio, the X3 broke records for the maximum power output, thrust and operating current achieved by a Hall thruster to date, according to the research team at the University of Michigan and representatives from NASA.
“We have shown that X3 can operate at over 100 kW of power,” said Alec Gallimore, who is leading the project, in an interview with Space.com. “It operated at a huge range of power from 5 kW to 102 kW, with electrical current of up to 260 amperes. It generated 5.4 Newtons of thrust, which is the highest level of thrust achieved by any plasma thruster to date,” added Gallimore, who is dean of engineering at the University of Michigan. The previous record was 3.3 Newtons, according to the school.
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Oct 13, 2017
Google’s AutoML Project Teaches AI To Write Learning Software
Posted by Shane Hinshaw in categories: augmented reality, law, mobile phones, robotics/AI, transportation
White-collar automation has become a common buzzword in debates about the growing power of computers, as software shows potential to take over some work of accountants and lawyers. Artificial-intelligence researchers at Google are trying to automate the tasks of highly paid workers more likely to wear a hoodie than a coat and tie—themselves.
In a project called AutoML, Google’s researchers have taught machine-learning software to build machine-learning software. In some instances, what it comes up with is more powerful and efficient than the best systems the researchers themselves can design. Google says the system recently scored a record 82 percent at categorizing images by their content. On the harder task of marking the location of multiple objects in an image, an important task for augmented reality and autonomous robots, the auto-generated system scored 43 percent. The best human-built system scored 39 percent.
Such results are significant because the expertise needed to build cutting-edge AI systems is in scarce—even at Google. “Today these are handcrafted by machine learning scientists and literally only a few thousands of scientists around the world can do this,” said Google CEO Sundar Pichai last week, briefly namechecking AutoML at a launch event for new smartphones and other gadgets. “We want to enable hundreds of thousands of developers to be able to do it.”
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